All Outputs (691)

Towards infield, live plant phenotyping using a reduced-parameter CNN (2019)
Journal Article
Atanbori, J., French, A. P., & Pridmore, T. P. (2020). Towards infield, live plant phenotyping using a reduced-parameter CNN. Machine Vision and Applications, 31(1), Article 2. https://doi.org/10.1007/s00138-019-01051-7

© 2019, The Author(s). There is an increase in consumption of agricultural produce as a result of the rapidly growing human population, particularly in developing nations. This has triggered high-quality plant phenotyping research to help with the br... Read More about Towards infield, live plant phenotyping using a reduced-parameter CNN.

Natural Language Generation for Operations and Maintenance in Wind Turbines (2019)
Presentation / Conference Contribution
Chatterjee, J., & Dethlefs, N. (2019, December). Natural Language Generation for Operations and Maintenance in Wind Turbines. Paper presented at NeurIPS 2019 Workshop: Tackling Climate Change with Machine Learning, Vancouver Convention Center, British Columbia, Canada

Wind energy is one of the fastest-growing sustainable energy sources in the world but relies crucially on efficient and effective operations and maintenance to generate sufficient amounts of energy and reduce downtime of wind turbines and associated... Read More about Natural Language Generation for Operations and Maintenance in Wind Turbines.

Robotics Inspired Renewable Energy Developments: Prospective Opportunities and Challenges (2019)
Journal Article
Iqbal, J., Al-Zahrani, A., Alharbi, S. A., & Hashmi, A. (2019). Robotics Inspired Renewable Energy Developments: Prospective Opportunities and Challenges. IEEE Access, 7, 174898-174923. https://doi.org/10.1109/ACCESS.2019.2957013

The domain of Robotics is a good partner of renewable energy and is becoming critical to the sustainability and survival of the energy industry. The multi-disciplinary nature of robots offers precision, repeatability, reliability, productivity and in... Read More about Robotics Inspired Renewable Energy Developments: Prospective Opportunities and Challenges.

An IoT-Based Framework of Webvr Visualization for Medical Big Data in Connected Health (2019)
Journal Article
Xu, G., Lan, Y., Zhou, W., Huang, C., Li, W., Zhang, W., Zhang, G., Ng, E. Y. K., Cheng, Y., Peng, Y., & Che, W. (2019). An IoT-Based Framework of Webvr Visualization for Medical Big Data in Connected Health. IEEE Access, 7, 173866-173874. https://doi.org/10.1109/ACCESS.2019.2957149

Recently, telemedicine has been widely applied in remote diagnosis, treatment and counseling, where the Internet of Things (IoT) technology plays an important role. In the process of telemedicine, data are collected from remote medical equipment, suc... Read More about An IoT-Based Framework of Webvr Visualization for Medical Big Data in Connected Health.

Convolutional Neural Net-Based Cassava Storage Root Counting Using Real and Synthetic Images (2019)
Journal Article
Atanbori, J., Montoya, M., Selvaraj, M. G., French, A. P., & Pridmore, T. P. (2019). Convolutional Neural Net-Based Cassava Storage Root Counting Using Real and Synthetic Images. Frontiers in Plant Science, 10, Article 1516. https://doi.org/10.3389/fpls.2019.01516

© Copyright © 2019 Atanbori, Montoya-P, Selvaraj, French and Pridmore. Cassava roots are complex structures comprising several distinct types of root. The number and size of the storage roots are two potential phenotypic traits reflecting crop yield... Read More about Convolutional Neural Net-Based Cassava Storage Root Counting Using Real and Synthetic Images.

A low-cost aeroponic phenotyping system for storage root development: unravelling the below-ground secrets of cassava (Manihot esculenta) (2019)
Journal Article
Selvaraj, M. G., Montoya-P, M. E., Atanbori, J., French, A. P., & Pridmore, T. (2019). A low-cost aeroponic phenotyping system for storage root development: unravelling the below-ground secrets of cassava (Manihot esculenta). Plant Methods, 15(1), https://doi.org/10.1186/s13007-019-0517-6

© 2019 The Author(s). Background: Root and tuber crops are becoming more important for their high source of carbohydrates, next to cereals. Despite their commercial impact, there are significant knowledge gaps about the environmental and inherent reg... Read More about A low-cost aeroponic phenotyping system for storage root development: unravelling the below-ground secrets of cassava (Manihot esculenta).

An enhanced secure delegation-based anonymous authentication protocol for PCSs (2019)
Journal Article
Gope, P., Ghayvat, H., Cheng, Y., & Kabir, S. (2019). An enhanced secure delegation-based anonymous authentication protocol for PCSs. International Journal of Communication Systems, Article e4199. https://doi.org/10.1002/dac.4199

Rapid development of wireless networks brings about many security problems in portable communication systems (PCSs), which can provide mobile users with an opportunity to enjoy global roaming services. In this regard, designing a secure user authenti... Read More about An enhanced secure delegation-based anonymous authentication protocol for PCSs.

A conceptual framework to incorporate complex basic events in HiP-HOPS (2019)
Book Chapter
Kabir, S., Aslansefat, K., Sorokos, I., Papadopoulos, Y., & Gheraibia, Y. (2019). A conceptual framework to incorporate complex basic events in HiP-HOPS. In Y. Papadopoulos, K. Aslansefat, P. Katsaros, & M. Bozzano (Eds.), Model-Based Safety and Assessment. IMBSA 2019 (109-124). Springer Verlag. https://doi.org/10.1007/978-3-030-32872-6_8

Reliability evaluation for ensuring the uninterrupted system operation is an integral part of dependable system development. Model-based safety analysis (MBSA) techniques such as Hierarchically Performed Hazard Origin and Propagation Studies (HiP-HOP... Read More about A conceptual framework to incorporate complex basic events in HiP-HOPS.

A runtime safety analysis concept for open adaptive systems (2019)
Presentation / Conference Contribution
Kabir, S., Sorokos, I., Aslansefat, K., Papadopoulos, Y., Gheraibia, Y., Reich, J., Saimler, M., & Wei, R. A runtime safety analysis concept for open adaptive systems. Presented at Model-Based Safety and Assessment (IMBSA 2019), Thessaloniki, Greece

© Springer Nature Switzerland AG 2019. In the automotive industry, modern cyber-physical systems feature cooperation and autonomy. Such systems share information to enable collaborative functions, allowing dynamic component integration and architectu... Read More about A runtime safety analysis concept for open adaptive systems.

Adaptive Backstepping Based Sensor and Actuator Fault Tolerant Control of a Manipulator (2019)
Journal Article
Awan, Z. S., Ali, K., Iqbal, J., & Mehmood, A. (2019). Adaptive Backstepping Based Sensor and Actuator Fault Tolerant Control of a Manipulator. Journal of Electrical Engineering & Technology, 14(6), 2497-2504. https://doi.org/10.1007/s42835-019-00277-9

The purpose of this research is to propose and design fault tolerant control (FTC) scheme for a robotic manipulator, to increase its reliability and performance in the presence of actuator and sensor faults. To achieve the said objectives, a hybrid c... Read More about Adaptive Backstepping Based Sensor and Actuator Fault Tolerant Control of a Manipulator.

Modeling and Robust Control of Twin Rotor MIMO System (2019)
Presentation / Conference Contribution
Shah, S. H., Khan, S. G., Iqbal, J., & Alharthi, M. (2019). Modeling and Robust Control of Twin Rotor MIMO System. In International Conference on Robotics and Automation in Industry (ICRAI). https://doi.org/10.1109/ICRAI47710.2019.8967355

Recently, unmanned aerial vehicles (UAVs) have witnessed immense popularity in various fields, ranging from surveillance, rescue, and fire fighting to other more sophisticated military and commercial applications. However, due to their highly nonline... Read More about Modeling and Robust Control of Twin Rotor MIMO System.

Dynamic reliability assessment of flare systems by combining fault tree analysis and Bayesian networks (2019)
Journal Article
Kabir, S., Taleb-Berrouane, M., & Papadopoulos, Y. (in press). Dynamic reliability assessment of flare systems by combining fault tree analysis and Bayesian networks. Energy Sources, Part A, https://doi.org/10.1080/15567036.2019.1670287

Flaring is a combustion process commonly used in the oil and gas industry to dispose flammable waste gases. Flare flameout occurs when these gases escape unburnt from the flare tip causing the discharge of flammable and/or toxic vapor clouds. The tox... Read More about Dynamic reliability assessment of flare systems by combining fault tree analysis and Bayesian networks.

Lumen contour segmentation in ivoct based on n-type cnn (2019)
Journal Article
Tang, J., Lan, Y., Chen, S., Zhong, Y., Huang, C., Peng, Y., Liu, Q., Cheng, Y., Chen, F., & Che, W. (2019). Lumen contour segmentation in ivoct based on n-type cnn. IEEE Access, 7, 135573-135581. https://doi.org/10.1109/ACCESS.2019.2941899

Automatic segmentation of lumen contour plays an important role in medical imaging and diagnosis, which is the first step towards the evaluation of morphology of vessels under analysis and the identification of possible atherosclerotic lesions. Meanw... Read More about Lumen contour segmentation in ivoct based on n-type cnn.

Safety + AI: A novel approach to update safety models using artificial intelligence (2019)
Journal Article
Gheraibia, Y., Kabir, S., Aslansefat, K., Sorokos, I., & Papadopoulos, Y. (2019). Safety + AI: A novel approach to update safety models using artificial intelligence. IEEE Access, 7, 135855-135869. https://doi.org/10.1109/ACCESS.2019.2941566

Safety-critical systems are becoming larger and more complex to obtain a higher level of functionality. Hence, modeling and evaluation of these systems can be a difficult and error-prone task. Among existing safety models, Fault Tree Analysis (FTA) i... Read More about Safety + AI: A novel approach to update safety models using artificial intelligence.

Skeleton Marching-based Parallel Vascular Geometry Reconstruction Using Implicit Functions (2019)
Journal Article
Qi, Q., Li, Q. D., Cheng, Y., & Hong, Q. Q. (2020). Skeleton Marching-based Parallel Vascular Geometry Reconstruction Using Implicit Functions. International Journal of Automation and Computing, 17(1), 30-43. https://doi.org/10.1007/s11633-019-1189-4

Fast high-precision patient-specific vascular tissue and geometric structure reconstruction is an essential task for vascular tissue engineering and computer-aided minimally invasive vascular disease diagnosis and surgery. In this paper, we present a... Read More about Skeleton Marching-based Parallel Vascular Geometry Reconstruction Using Implicit Functions.

Environmental temperatures shape thermal physiology as well as diversification and genome-wide substitution rates in lizards (2019)
Journal Article
García-Porta, J., Irisarri, I., Kirchner, M., Rodriguez, A., Kirchhof, S., Brown, J. L., MacLeod, A., Turner, A. P., Ahmadzadeh, F., Albaladejo, G., Crnobrnja-Isailovic, J., De la Riva, I., Fawzi, A., Galan, P., Göçmen, B., Harris, D. J., Jiménez-Robles, O., Joger, U., Jovanović Glavaš, O., Karış, M., …Wollenberg Valero, K. C. (2019). Environmental temperatures shape thermal physiology as well as diversification and genome-wide substitution rates in lizards. Nature communications, 10(1), Article 4077. https://doi.org/10.1038/s41467-019-11943-x

© 2019, The Author(s). Climatic conditions changing over time and space shape the evolution of organisms at multiple levels, including temperate lizards in the family Lacertidae. Here we reconstruct a dated phylogenetic tree of 262 lacertid species b... Read More about Environmental temperatures shape thermal physiology as well as diversification and genome-wide substitution rates in lizards.

Performance evaluation and design for variable threshold alarm systems through semi-Markov process (2019)
Journal Article
Aslansefat, K., Bahar Gogani, M., Kabir, S., Shoorehdeli, M. A., & Yari, M. (in press). Performance evaluation and design for variable threshold alarm systems through semi-Markov process. ISA Transactions, https://doi.org/10.1016/j.isatra.2019.08.015

In large industrial systems, alarm management is one of the most important issues to improve the safety and efficiency of systems in practice. Operators of such systems often have to deal with a numerous number of simultaneous alarms. Different kinds... Read More about Performance evaluation and design for variable threshold alarm systems through semi-Markov process.

Variability management in safety-critical systems design and dependability analysis (2019)
Journal Article
de Oliveira, A. L., Braga, R., Masiero, P., Parker, D., Papadopoulos, Y., Habli, I., & Kelly, T. (2019). Variability management in safety-critical systems design and dependability analysis. Journal of software : evolution and process, 31(8), Article e2202. https://doi.org/10.1002/smr.2202

Safety-critical systems are of paramount importance for many application domains, where safety properties are a key driver to engineer critical aspects and avoid system failures. For the benefits of large-scale reuse, software product lines (SPL) hav... Read More about Variability management in safety-critical systems design and dependability analysis.

A nine months follow-up study of hemodynamic effect on bioabsorbable coronary stent implantation (2019)
Journal Article
Lan, Y., Zhou, Y., Lu, Y., Wang, H., Liu, Q., Ng, E. Y. K., Peng, Y., Hao, Y., Liu, Q., Chen, F., Cheng, Y., & Che, W. (2019). A nine months follow-up study of hemodynamic effect on bioabsorbable coronary stent implantation. IEEE Access, 7, 112564-112571. https://doi.org/10.1109/ACCESS.2019.2934155

Coronary artery disease has emerged as one of the major diseases causing death worldwide. Coronary stent has great effect to improve blood flow to the myocardium subtended by that artery, in which bioresorbable vascular scaffolds are new-generation s... Read More about A nine months follow-up study of hemodynamic effect on bioabsorbable coronary stent implantation.

Ensemble multiboost based on ripper classifier for prediction of imbalanced software defect data (2019)
Journal Article
He, H., Zhang, X., Wang, Q., Ren, J., Liu, J., Zhao, X., & Cheng, Y. (2019). Ensemble multiboost based on ripper classifier for prediction of imbalanced software defect data. IEEE Access, 7, 110333-110343. https://doi.org/10.1109/ACCESS.2019.2934128

Identifying defective software entities is essential to ensure software quality during software development. However, the high dimensionality and class distribution imbalance of software defect data seriously affect software defect prediction perform... Read More about Ensemble multiboost based on ripper classifier for prediction of imbalanced software defect data.